Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 26 Oct 2026, the same day before this check.
Latest release v1.6.0 on 23 Oct 2026.
Public since January 2026, 9 months.
50 stars and 7 forks.
35 commits and 2 new issues in the last 90 days.
1 contributor. No pull requests merged in 90 days; changes go in directly. A small team carries it.
No security policy file says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This tool takes a song and replaces the singer's voice with a different one using artificial intelligence. It separates the vocals from the instruments, removes room echo, changes the voice, and mixes everything back together. You can run it on your own computer or through a web browser. It costs nothing in money, but needs a powerful graphics card and at least 32 gigabytes of memory to run well. Setting it up takes some technical knowledge of Python and command-line tools.
What it is
AI-RVC is an open-source web application for voice conversion and singing cover generation built on RVC v1 and v2. It includes audio separation, pitch detection, model management, and a multi-track player.
What it is good for
Solo builders and creators who want to experiment with AI singing voice conversion, generate cover songs, or test voice models locally without paying for cloud subscriptions.
- Includes a web interface for managing models and running the full pipeline without writing code.
- Supports over 180 downloadable character voice models with built-in search and filtering.
- Exports separate audio tracks for vocals, instruments, backing harmonies, and the final mixed cover.
- Requires a dedicated graphics card with at least 16 gigabytes of memory for reasonable processing speed.
- Setup involves installing Python, audio libraries, and large model weights which can fail on restricted systems.
- Running multiple separation and conversion models for a single song takes several minutes per track.
Manual audio stem separation and command-line voice conversion scripts.
Audacity
- RVC-Project/Retrieval-based-Voice-Conversion-WebUI39k stars
The upstream toolkit that provides the core voice conversion engine used by this project.
- nomadkaraoke/python-audio-separator1.4k stars
A Python library for separating vocals and instruments from songs using machine learning models.
- spotify/pedalboard6.4k stars
Applies audio effects to recordings from Python, including studio plug-ins, without calling another program.
- iver56/audiomentations2.3k stars
Spoils sound recordings on purpose, 39 ways, so a model trained on them copes with real rooms.
- shaka-project/shaka-packager2.6k stars
Cuts a video file into the pieces and index files that a browser needs in order to stream it.
git clone https://github.com/mason369/AI-RVC.git cd AI-RVC python install.py